def __init__(self, cascade_path=None, dlib_path=None, ignore_OS=False):
path_to_lib_file = os.path.join(os.getcwd(), 'libfrontalize.so')
self.lib = cdll.LoadLibrary(path_to_lib_file)
self.lib.frontalize.restype = c_char_p
self.cascade_path = "/bigData/temp/opencv-3.0.0-rc1/data/haarcascades" if cascade_path is None else cascade_path
self.dlib_path = "data/shape_predictor_68_face_landmarks.dat" if dlib_path is None else dlib_path
self.raw_result = None
self.arguments = None
self.result = {"projection_mat": None}
check_version("numpy", "1.9.1")
if platform.system().lower() != "linux" and not ignore_OS:
raise Exception('This code has not been tested on any OS other than Linux. ' +
'IF you still wish to use is on Windows or Mac, pass "ignore_OS=True" ' +
'as a parameter when initializing this class (Frontalizer).')
def __init__(self, open_cv_haar_cascade_path=None):
if open_cv_haar_cascade_path is None:
self.casc_path = "/bigData/mylibs/opencv-3.0.0-rc1/data/haarcascades/haarcascade_frontalface_alt.xml"
else:
self.casc_path = open_cv_haar_cascade_path
check_version("numpy", "1.9.1")
check_version("PIL", "1.1.7")
check_version("opencv", "3.0.0-rc1")
if not os.path.exists(self.casc_path):
raise Exception(
self.casc_path
+ "is an invalid path. "
+ "It should be a path to the opencv haarcascades xml files folder."
)